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Using plant, microbe and soil fauna traits to improve the predictive power of biogeochemical models

dc.contributor.authorFry, Ellen L.
dc.contributor.authorDe Long, Jonathan R.
dc.contributor.authorÁlvarezGarrido, Lucía
dc.contributor.authorAlvarez, Nil
dc.contributor.authorCarrillo, Yolima
dc.contributor.authorCastañeda-Gómez, Laura
dc.contributor.authorChomel, Mathilde
dc.contributor.authorDondini, Marta
dc.contributor.authorDrake, John E.
dc.contributor.authorHasegawa, Shun
dc.contributor.authorHortal, Sara
dc.contributor.authorJackson, Benjamin G.
dc.contributor.authorJiang, Mingkai
dc.contributor.authorLavallee, Jocelyn M.
dc.contributor.authorMedlyn, Belind M.
dc.contributor.authorRhymes, Jennifer
dc.contributor.authorSingh, Brajesh K.
dc.contributor.authorSmith, Pete
dc.contributor.authorAnderson, Ian C.
dc.contributor.authorBardgett, Richard D.
dc.contributor.authorBaggs, Elizabeth M.
dc.contributor.authorJohnson, David
dc.date.accessioned2019-10-07T23:04:27Z
dc.date.available2019-10-07T23:04:27Z
dc.date.issued2019-01
dc.identifier.citationFry , E L , De Long , J R , ÁlvarezGarrido , L , Alvarez , N , Carrillo , Y , Castañeda-Gómez , L , Chomel , M , Dondini , M , Drake , J E , Hasegawa , S , Hortal , S , Jackson , B G , Jiang , M , Lavallee , J M , Medlyn , B M , Rhymes , J , Singh , B K , Smith , P , Anderson , I C , Bardgett , R D , Baggs , E M & Johnson , D 2019 , ' Using plant, microbe and soil fauna traits to improve the predictive power of biogeochemical models ' , Methods in Ecology and Evolution , vol. 10 , no. 1 , pp. 146-157 . https://doi.org/10.1111/2041-210X.13092en
dc.identifier.issn2041-210X
dc.identifier.otherPURE: 132318098
dc.identifier.otherPURE UUID: d5c2bae9-4769-4b27-bb11-37b9814801f0
dc.identifier.otherScopus: 85054558539
dc.identifier.otherMendeley: 6dba8c3d-4b0c-3735-8cad-bd83f0ad0163
dc.identifier.otherORCID: /0000-0002-3784-1124/work/54702288
dc.identifier.otherWOS: 000457750600015
dc.identifier.urihttp://hdl.handle.net/2164/13076
dc.descriptionELF is supported by the NERC Soil Security Programme (NE/P013708/1); JRD and BGJ by the UK Biotechnology and Biological Sciences Research Council (BBSRC) (Grants BB/I009000/2 and BB/I009183/1). DJ receives partial support from the N8 AgriFood programme. This work was supported by a BBSRC International Partnering award (BB/L026759/1) to EB, DJ, RB and PS.en
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofMethods in Ecology and Evolutionen
dc.rightsThis is the peer reviewed version of the following article:ry EL, De Long JR, Garrido LÁ, et al. Using plant, microbe, and soil fauna traits to improve the predictive power of biogeochemical models. Methods Ecol Evol. 2019;10:146–157., which has been published in final form at https://doi.org/10.1111/2041-210X.13092. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subjectabove‐belowground interactionsen
dc.subjectbiodiversityen
dc.subjectcarbon and nitrogen cyclingen
dc.subjectclimate changeen
dc.subjectcommunity weighted meansen
dc.subjecteffect and response traitsen
dc.subjectintra- and interspecific variationen
dc.subjectmycorrhizaeen
dc.subjectabove-belowground interactionsen
dc.subjectQH301 Biologyen
dc.subjectEcological Modellingen
dc.subjectEcology, Evolution, Behavior and Systematicsen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBB/I009000/2en
dc.subjectBB/I009183/1en
dc.subjectBB/L026759/1en
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/P013708/1en
dc.subject.lccQH301en
dc.titleUsing plant, microbe and soil fauna traits to improve the predictive power of biogeochemical modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1111/2041-210X.13092
dc.date.embargoedUntil2019-10-08
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85054558539&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.mendeley.com/research/using-plant-microbe-soil-fauna-traits-improve-predictive-power-biogeochemical-modelsen
dc.identifier.vol10en
dc.identifier.iss1en


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